Triple
T2554158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SITE Industrial Area |
E56694
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
SITE
SITE is a major industrial estate in Pakistan that hosts a large concentration of manufacturing and commercial enterprises.
|
E276939
|
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: SITE | Statement: [SITE Industrial Area, shortName, SITE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SITE Context triple: [SITE Industrial Area, shortName, SITE]
-
A.
Sito
Sito is an epithet of the Greek goddess Demeter that emphasizes her role as the provider of grain and sustenance.
-
B.
HOME
HOME is a major arts centre in Manchester, England, known for its contemporary theatre, independent cinema, and visual arts exhibitions.
-
C.
Home
Home is a 2012 novel by Toni Morrison that follows a Korean War veteran’s journey back to his racially segregated hometown in the American South, exploring themes of trauma, memory, and belonging.
-
D.
Home
"Home" is a track from Common's politically charged hip-hop album *Black America Again*, reflecting themes of identity, struggle, and belonging.
-
E.
Home
Home is a 2015 DreamWorks Animation science-fiction comedy film about an alien outcast who befriends a human girl during an invasion of Earth.
- 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: SITE Triple: [SITE Industrial Area, shortName, SITE]
Generated description
SITE is a major industrial estate in Pakistan that hosts a large concentration of manufacturing and commercial enterprises.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SITE Target entity description: SITE is a major industrial estate in Pakistan that hosts a large concentration of manufacturing and commercial enterprises.
-
A.
Sito
Sito is an epithet of the Greek goddess Demeter that emphasizes her role as the provider of grain and sustenance.
-
B.
HOME
HOME is a major arts centre in Manchester, England, known for its contemporary theatre, independent cinema, and visual arts exhibitions.
-
C.
Home
Home is a 2012 novel by Toni Morrison that follows a Korean War veteran’s journey back to his racially segregated hometown in the American South, exploring themes of trauma, memory, and belonging.
-
D.
Home
"Home" is a track from Common's politically charged hip-hop album *Black America Again*, reflecting themes of identity, struggle, and belonging.
-
E.
Home
Home is a 2015 DreamWorks Animation science-fiction comedy film about an alien outcast who befriends a human girl during an invasion of Earth.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd30d20e081908587c76064573150 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d1ad6b4819097f1d18a12aa2b89 |
completed | March 9, 2026, 11:51 p.m. |
| NEDg | Description generation | batch_69af5dea244c81909bd6bcdba0edf958 |
completed | March 9, 2026, 11:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af5e66a39c81909a49c272cd595c84 |
completed | March 9, 2026, 11:57 p.m. |
Created at: March 6, 2026, 9:48 p.m.