Triple
T9125421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shwedagon Pagoda |
E218956
|
entity |
| Predicate | hasCrowningJewel |
P87221
|
FINISHED |
| Object |
golden hti
The golden hti is the ornate, jewel-encrusted umbrella-shaped finial that crowns the top of Myanmar’s Shwedagon Pagoda, symbolizing Buddhist devotion and royal patronage.
|
E778461
|
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: golden hti | Statement: [Shwedagon Pagoda, hasCrowningJewel, golden hti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: golden hti Context triple: [Shwedagon Pagoda, hasCrowningJewel, golden hti]
-
A.
HGI
HGI is the IATA airport code for Donyi Polo Airport, a regional airport serving the town of Itanagar in Arunachal Pradesh, India.
-
B.
HTI
HTI is the three-letter ISO 3166-1 alpha-3 country code assigned to Haiti for international standardization and identification.
-
C.
HTI
HTI is the IATA airport code for Hamilton Island Airport, a key gateway to Australia’s Whitsunday Islands and the Great Barrier Reef.
-
D.
Gtech
Gtech is a British home and garden appliance company best known for its cordless vacuum cleaners and other innovative household products.
-
E.
GIH
GIH is Sweden’s national university college dedicated to sports science, physical education, and health research and training.
- 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: golden hti Triple: [Shwedagon Pagoda, hasCrowningJewel, golden hti]
Generated description
The golden hti is the ornate, jewel-encrusted umbrella-shaped finial that crowns the top of Myanmar’s Shwedagon Pagoda, symbolizing Buddhist devotion and royal patronage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: golden hti Target entity description: The golden hti is the ornate, jewel-encrusted umbrella-shaped finial that crowns the top of Myanmar’s Shwedagon Pagoda, symbolizing Buddhist devotion and royal patronage.
-
A.
HGI
HGI is the IATA airport code for Donyi Polo Airport, a regional airport serving the town of Itanagar in Arunachal Pradesh, India.
-
B.
HTI
HTI is the three-letter ISO 3166-1 alpha-3 country code assigned to Haiti for international standardization and identification.
-
C.
HTI
HTI is the IATA airport code for Hamilton Island Airport, a key gateway to Australia’s Whitsunday Islands and the Great Barrier Reef.
-
D.
Gtech
Gtech is a British home and garden appliance company best known for its cordless vacuum cleaners and other innovative household products.
-
E.
GIH
GIH is Sweden’s national university college dedicated to sports science, physical education, and health research and training.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8b8970881909c3b2c67fc131627 |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d030988a888190b5a1e4fd6bd7fcee |
completed | April 3, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69d031701c208190bdfde3a203b016fe |
completed | April 3, 2026, 9:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d03236de388190afd93f773a342977 |
completed | April 3, 2026, 9:33 p.m. |
Created at: March 30, 2026, 7:17 p.m.