Triple
T12723744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsim Sha Tsui |
E304051
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
iSquare
iSquare is a major shopping and entertainment complex in Hong Kong known for its diverse retail, dining, and leisure offerings.
|
E999176
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: iSquare | Statement: [Tsim Sha Tsui, hasPart, iSquare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: iSquare Context triple: [Tsim Sha Tsui, hasPart, iSquare]
-
A.
Square Terminal
Square Terminal is a portable, all-in-one point-of-sale device designed by Square for businesses to accept card payments and manage transactions.
-
B.
Square Biz
"Square Biz" is a 1981 funk and R&B hit by Teena Marie known for its catchy groove and early blend of singing with rap-style verses.
-
C.
Ingenico
Ingenico is a global provider of payment terminals and payment services, widely used by merchants for secure electronic transactions.
-
D.
Square D
Square D is a well-known American brand of electrical equipment and circuit protection products, particularly recognized for its circuit breakers, panelboards, and industrial control systems.
-
E.
SQuaRE
SQuaRE is the ISO/IEC software product quality standards framework that defines models and measures for evaluating and improving software quality.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: iSquare Triple: [Tsim Sha Tsui, hasPart, iSquare]
Generated description
iSquare is a major shopping and entertainment complex in Hong Kong known for its diverse retail, dining, and leisure offerings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: iSquare Target entity description: iSquare is a major shopping and entertainment complex in Hong Kong known for its diverse retail, dining, and leisure offerings.
-
A.
Square Terminal
Square Terminal is a portable, all-in-one point-of-sale device designed by Square for businesses to accept card payments and manage transactions.
-
B.
Square Biz
"Square Biz" is a 1981 funk and R&B hit by Teena Marie known for its catchy groove and early blend of singing with rap-style verses.
-
C.
Ingenico
Ingenico is a global provider of payment terminals and payment services, widely used by merchants for secure electronic transactions.
-
D.
Square D
Square D is a well-known American brand of electrical equipment and circuit protection products, particularly recognized for its circuit breakers, panelboards, and industrial control systems.
-
E.
SQuaRE
SQuaRE is the ISO/IEC software product quality standards framework that defines models and measures for evaluating and improving software quality.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964148f988190a4d0e7b41614fa64 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c841edc81909147d30c51471c47 |
completed | May 2, 2026, 10:36 p.m. |
| NEDg | Description generation | batch_69f67d663fd08190a00b30a7ff260c70 |
completed | May 2, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67e12b8148190958b63ba114d6221 |
completed | May 2, 2026, 10:43 p.m. |
Created at: April 9, 2026, 5:25 p.m.