Triple
T14766794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huldu |
E347015
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Petra
Petra is an ancient rock-cut city in southern Jordan, famed for its elaborate sandstone facades and status as a UNESCO World Heritage Site.
|
E83222
|
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: Petra | Statement: [Huldu, associatedWith, Petra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Petra Context triple: [Huldu, associatedWith, Petra]
-
A.
Petra
Petra is an ancient rock-cut city in southern Jordan renowned for its monumental sandstone architecture and role as the former capital of the Nabataean Kingdom.
-
B.
Petra
Petra is a brave and skilled warrior character from the episodic adventure game Minecraft: Story Mode, known for her combat prowess and loyalty to her friends.
-
C.
Petra
Petra is a character in the romantic comedy film "Last Christmas," which is inspired by the music of George Michael and Wham!.
-
D.
Ko Petra
Ko Petra is a small, scenic island in Thailand’s Trang Province, known for its limestone cliffs, clear waters, and tranquil, less-developed beaches.
-
E.
Saqqez
Saqqez is a historically significant Kurdish city in western Iran known as one of the main urban centers of Kurdistan Province.
- 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: Petra Triple: [Huldu, associatedWith, Petra]
Generated description
Petra is an ancient rock-cut city in southern Jordan, famed for its elaborate sandstone facades and status as a UNESCO World Heritage Site.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Petra Target entity description: Petra is an ancient rock-cut city in southern Jordan, famed for its elaborate sandstone facades and status as a UNESCO World Heritage Site.
-
A.
Petra
chosen
Petra is an ancient rock-cut city in southern Jordan renowned for its monumental sandstone architecture and role as the former capital of the Nabataean Kingdom.
-
B.
Petra
Petra is a character in the romantic comedy film "Last Christmas," which is inspired by the music of George Michael and Wham!.
-
C.
Petra
Petra is a brave and skilled warrior character from the episodic adventure game Minecraft: Story Mode, known for her combat prowess and loyalty to her friends.
-
D.
Ko Petra
Ko Petra is a small, scenic island in Thailand’s Trang Province, known for its limestone cliffs, clear waters, and tranquil, less-developed beaches.
-
E.
Saqqez
Saqqez is a historically significant Kurdish city in western Iran known as one of the main urban centers of Kurdistan Province.
- F. None of above.
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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f576c881909da70627f5897c94 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5a2413c8190858e84cbc87b816d |
completed | May 9, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_69fea733cd2c81909b56f6cf871e018e |
completed | May 9, 2026, 3:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea97741dc8190b56facdbff937c78 |
completed | May 9, 2026, 3:26 a.m. |
Created at: April 10, 2026, 1:30 a.m.