Triple
T17958203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haryana Urban Development Authority |
E449006
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
HUDA
HUDA is a government agency responsible for planning and developing urban infrastructure and residential/commercial sectors across the Indian state of Haryana.
|
E1298191
|
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: HUDA | Statement: [Haryana Urban Development Authority, alsoKnownAs, HUDA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HUDA Context triple: [Haryana Urban Development Authority, alsoKnownAs, HUDA]
-
A.
Hamzaa
Hamzaa is a British R&B and soul singer-songwriter known for her emotive vocals and introspective, heartfelt lyrics.
-
B.
Hussain
Hussain is a common given name and surname of Arabic origin, widely used in Muslim communities around the world.
-
C.
Hasana
Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
-
D.
Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
-
E.
Hammad
Hammad is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks.
- 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: HUDA Triple: [Haryana Urban Development Authority, alsoKnownAs, HUDA]
Generated description
HUDA is a government agency responsible for planning and developing urban infrastructure and residential/commercial sectors across the Indian state of Haryana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HUDA Target entity description: HUDA is a government agency responsible for planning and developing urban infrastructure and residential/commercial sectors across the Indian state of Haryana.
-
A.
Hamzaa
Hamzaa is a British R&B and soul singer-songwriter known for her emotive vocals and introspective, heartfelt lyrics.
-
B.
Hussain
Hussain is a common given name and surname of Arabic origin, widely used in Muslim communities around the world.
-
C.
Hasana
Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
-
D.
Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
-
E.
Hammad
Hammad is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afb16bfc8190b3eb433a90f0630d |
completed | April 19, 2026, 10:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0329231bc88190bd8dddb2d2f9e5fa |
completed | May 12, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_6a032b6bbebc819084da96216c6406d6 |
completed | May 12, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a032c34e8ac8190876e37fe8d3aa304 |
completed | May 12, 2026, 1:33 p.m. |
Created at: April 10, 2026, 10:21 a.m.